Server, method, and system for evaluating user by analyzing social network

Abstract

Disclosed is an SNS analysis server. The SNS analysis server includes at least one processor for analyzing SNS activity of a user by using information about an SNS account of the user and information including an evaluation application form of the user, and determining an evaluation score for the user based on the analyzed SNS activity of the user to provide the determined evaluation score. Accordingly, non-target customers who do not have credit assessments may get additional opportunities for loans, and job applicants may get additional employment opportunities based on social assessments. Business operators may hire employees who are more suited to vocational aptitude, block black consumers in advance, and perform marketing by analyzing a marketing target to better understand propensities and needs of customers.

1 . A server comprising at least one processor for analyzing SNS activity of a user by using information about an SNS account of the user and information including an evaluation application form of the user, and calculating an evaluation score for the user based on the analyzed SNS activity of the user to provide the calculated evaluation score. 
     
     
         2 . The server of  claim 1 , wherein the at least one processor is configured to collect at least one of personal information, created contents, shared contents, friend relationship, and activity contents from the SNS account of the user, evaluate a trust index, a communication index, and a management index of the user by performing text mining, opinion mining, and social network analysis on the collected contents, and calculate the evaluation score for the user based on the trust index, the communication index, and the management index. 
     
     
         3 . The server of  claim 2 , wherein the at least one processor compares the evaluation application form of the user with the collected contents to evaluate the trust index of the user as a higher level as a coincidence degree becomes higher. 
     
     
         4 . The server of  claim 2 , wherein the at least one processor evaluates the communication index of the user as a higher level as activity on the SNS of the user becomes higher. 
     
     
         5 . The server of  claim 4 , wherein the at least one processor evaluates the communication index of the user based on at least one of a number of times of expressing an interest in a post of another person on the SNS account of the user, a number of times of obtaining an interest of other people in a post of the user, a number of posts posted by the user, a number of comments posted by the user, a number of posts of other people shared by the user, and a time spent by the user for using the SNS account, and provides a weight to the communication index corresponding to a number of times of expressing an interest in a post between the user and a friend having a high connection with the user, a number of times of sharing a post, and a number of times of leaving a comment. 
     
     
         6 . The server of  claim 2 , wherein the at least one processor analyzes at least one of a type, frequency, and story of contents posted by the user and friends connected to the user to evaluate the management index of the user as a higher level as consistency of the contents posted by the user and the friends connected to the user becomes higher. 
     
     
         7 . The server of  claim 1 , wherein the evaluation score includes at least one of a credit assessment for the user, a personnel assessment for the user, and a marketing strategy for the user. 
     
     
         8 . A method for evaluating a user by analyzing a social network, the method comprising:
 analyzing SNS activity of a user by using information about an SNS account of the user and information including an evaluation application form of the user; and   calculating an evaluation score for the user based on the analyzed SNS activity of the user to provide the calculated evaluation score.   
     
     
         9 . The method of  claim 1 , wherein the analyzing of the SNS activity of the user includes collecting at least one of personal information, created contents, shared contents, friend relationship, and activity contents from the SNS account of the user, and evaluating a trust index, a communication index, and a management index of the user by performing text mining, opinion mining, and social network analysis on the collected contents, and
 the calculating of the evaluation score for the user to provide the calculated evaluation score includes calculating the evaluation score for the user based on the trust index, the communication index, and the management index.   
     
     
         10 . A system for evaluating a user, the system comprising:
 a user terminal;   an analysis request server for transmitting SNS account information and an evaluation application form of the user, which are received from the user terminal, to an evaluation analysis server, and providing an evaluation score for the user, which is received from the evaluation analysis server, to the user terminal;   an SNS analysis server for transmitting the SNS account information and the evaluation application form of the user, which are received from the analysis request server, and an SNS activity information request for the SNS account of the user to an SNS server, and analyzing SNS activity information received from the SNS server to calculate the evaluation score and provide the calculated evaluation score to the evaluation application server; and   the SNS server for transmitting the SNS activity information, which includes a history of activity performed with the SNS account, to the evaluation analysis server when the SNS server receives the SNS account information and the evaluation application form of the user, which are received from the evaluation analysis server, and the SNS activity information request for the SNS account of the user.